A Robust Recursive Least Square Algorithm against Impulsive Noise(Digital Signal Processing)
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概要
- 論文の詳細を見る
In this paper, we propose a robust adaptive algorithm for impulsive noise suppression. The perturbation of the input signal as well as the perturbation of the estimation error are restricted by M-estimation. The threshold used in M-estimation is obtained from the proposed adaptive variance estimation. Simulations show that the proposed algorithm is less vulnerable to the impulsive noise than the conventional algorithm.
- 社団法人電子情報通信学会の論文
- 2004-09-01
著者
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KIM Kiseon
Department of Information and Communications, Gwangju Institute of Science and Technology
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Har D‐s
Gwangju Inst. Of Sci. And Technol. (gist) Gwangju Kor
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Kim Kiseon
Department Of Information And Communication At The Gwangju Institute Of Science And Technology (gist
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Kim Dae-jin
Department Of Electronics Engineering Chonnam National Univ.
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Kim Jinyoung
Department Of Electronics Computer And Information Eng. And Rrc Hecs Chon-nam National University
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Kim Jinyoung
Department Of Electronics Engineering Chonnam National Univ.
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BAEK Seong-Joon
Department of Electronics Engineering, Chonnam National Univ.
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HAR Dong-Soo
Department of Information and Communications, GIST
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Kim Kiseon
Department Of Information And Communications Gist
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Baek Seong-joon
Department Of Electronics Engineering Chonnam National Univ.
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KIM Dae-Jin
Department of EECS, KAIST
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